Misinformation Detection
Misinformation Detection is a computational analytical method within Social Media Analytics that identifies false or inaccurate information by distinguishing it from related concepts such as disinformation and rumor through content verification and source credibility assessment.
4.4K
Publications
326.4K
Citations
11.2K
Authors
2.7K
Institutions
Publications per year
2017–2026
3.7K
Parents
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David Lazer, Matthew Baum, Yochai Roberts Benkler et al. · Science · 2018 · 3.8K citations · Full text
Fake News Detection on Social Media
Kai Shu, Amy Sliva, Suhang Wang et al. · ACM SIGKDD Explorations Newsletter · 2017 · 3.1K citations
Edson C. Tandoc, Zheng Wei Lim, Richard Ling · Digital Journalism · 2017 · 2.1K citations
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Massachusetts Institute of Technology
Cambridge, United States
39 h-index
157 publications
21.8K citations
University of Chinese Academy of Sciences
Beijing, China
37 h-index
162 publications
19.9K citations
Arizona State University
Tempe, United States
31 h-index
100 publications
25.5K citations
University of Illinois Chicago
Chicago, United States
30 h-index
82 publications
14.9K citations

Chinese Academy of Sciences
Beijing, China
30 h-index
152 publications
11.3K citations
Indiana University Bloomington
Bloomington, United States
28 h-index
106 publications
20.6K citations

University of Regina
Regina, Canada
28 h-index
55 publications
10.2K citations

Pennsylvania State University
State College, United States
27 h-index
74 publications
10.5K citations
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Repository · 227 publications · 11.2K citations
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60 publications · 5.1K citations
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43 publications · 3.4K citations
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